Evidence map›Paper›PMID 17587075›Full record

ArticleMicrobial ecology2007

Improvements of polymerase chain reaction and capillary electrophoresis single-strand conformation polymorphism methods in microbial ecology: toward a high-throughput method for microbial diversity studies in soil.

Lucie Zinger, Jérôme Gury, Frédéric Giraud, Serge Krivobok, Ludovic Gielly, Pierre Taberlet, Roberto A Geremia

Abstract read
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Article in Microbial ecology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lucie ZingerLaboratoire d'Ecologie Alpine, Perturbations Environnementales et Xénobiotiques, CNRS UMR 5553, Université Joseph Fourier, Grenoble Cedex 9, France.
Jérôme Gury
Frédéric Giraud
Serge Krivobok
Ludovic Gielly
Pierre Taberlet
Roberto A Geremia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular signature of bacteria from soil ecosystems is an important tool for studying microbial ecology and biogeography. However, a high-throughput technology is needed for such studies. In this article, we tested the suitability of available methods ranging from soil DNA extraction to capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) for high-throughput studies. Our results showed that the extraction method does not dramatically influence CE-SSCP profiles, and that DNA extraction of a 0.25 g soil sample is sufficient to observe overall bacterial diversity in soil matrices. The V3 region of the 16S rRNA gene was amplified by PCR, and the extension time was found to be critical. We have also found that proofreading DNA polymerases generate a better signal in CE-SSCP profiles. Experiments performed with different soil matrices revealed the repeatability, efficiency, and consistency of CE-SSCP. Studies on PCR and CE-SSCP using single-species genomic DNA as a matrix showed that several ribotypes may migrate at the same position, and also that single species can produce double peaks. Thus, the extrapolation between number of peaks and number of species remains difficult. Additionally, peak detection is limited by the analysis software. We conclude that the presented method, including CE-SSCP and the analyzing step, is a simple and effective technique to obtain the molecular signature of a given soil sample.

Indexed as

Soil MicrobiologyBacteriaBiodiversityDNA-Directed DNA PolymeraseDNA PrimersEcosystemElectrophoresis, CapillaryPolymerase Chain ReactionPolymorphism, Single-Stranded ConformationalDNA-Directed DNA PolymeraseDNA Primers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.